Constrained Nonlinear Regression

Notes
Output Created		21-FEB-2002 17:54:33
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss_US.sav
	Filter	wla = 1 (FILTER)
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	70
Syntax		MODEL PROGRAM EMIN=100 EMAX=90 ED=5 GSD=2 .
COMPUTE PRED_ = emin+(emax-emin)*(CDF.NORMAL(lg10(dose),ed,gsd)).
CNLR bodyweig
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
  /BOUNDS ED <= 4; ED >= -2; GSD <= 50; GSD >= .01; EMIN >= 0
  /BOOTSTRAP
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:01.28

All the derivatives will be calculated numerically.




  Iteration Residual SS        EMIN        EMAX          ED         GSD

     0.3    1272.088389  100.000000  90.0000000  4.00000000  2.00000000
     1.2    1013.968018  102.199028  89.8207330  3.94299282  1.98109262
     2.5    900.4417060  106.643582  85.7241346  3.42519071  6.16489234
     3.2    841.7222036  106.658766  88.4382548  1.73699570  4.24963091
     4.5    744.7379864  107.831066  94.5579360  .214885324  3.02199310
     5.3    636.6562161  108.538609  90.2487697  1.39045639  3.03436559
     6.2    629.8627066  108.501682  90.3872855  1.30860756  2.86670615
     7.1    615.6076510  107.785424  90.4394123  1.34543750  2.46333459
     8.1    579.4380735  105.448161  90.1110727  1.79377027  1.61695354
     9.1    575.5863586  104.899280  90.2306280  1.86057020  1.47204730
    10.1    570.2787416  104.708224  91.0019946  1.75661057  1.60943401
    11.2    515.1433631  104.119624  94.6016633  1.35650608  .906616759
    12.2    513.6296451  104.109255  94.7013923  1.34070112  .877294405
    13.1    502.0704374  104.324071  94.5738244  1.36049643  .712936553
    14.1    501.1341051  104.329659  94.6814013  1.31024899  .686509231
    15.1    501.0668026  104.328270  94.6167416  1.30967086  .701452387
    16.1    501.0639709  104.318302  94.6263027  1.31115797  .696027331
    17.1    501.0633166  104.324771  94.6284320  1.31005646  .697290178
    18.1    501.0632409  104.323515  94.6269269  1.31027024  .697379163

Run stopped after 18 major iterations.
Optimal solution found.


Nonlinear Regression Summary Statistics     Dependent Variable BODYWEIG

  Source                 DF  Sum of Squares  Mean Square

  Regression              4   707107.07768   176776.76942
  Residual               66      501.06324        7.59187
  Uncorrected Total      70   707608.14092

  (Corrected Total)      69     1639.41773

  R squared = 1 - Residual SS / Corrected SS =     .69437

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  EMIN      104.32351538   .555202605 103.21501762 105.43201315
  EMAX      94.626926873   .824932744 92.979895508 96.273958237
  ED         1.310270236   .175612974   .959647621  1.660892850
  GSD         .697379163   .237734484   .222726951  1.172031375




  Asymptotic Correlation Matrix of the Parameter Estimates

                EMIN      EMAX        ED       GSD

  EMIN        1.0000    -.1213    -.3296     .3986
  EMAX        -.1213    1.0000    -.5494    -.5417
  ED          -.3296    -.5494    1.0000     .1647
  GSD          .3986    -.5417     .1647    1.0000

Bootstrap statistics based on 100 samples

                                     95% Conf. Bounds     95% Trimmed Range
  Parameter  Estimate  Std. Error    Lower      Upper      Lower      Upper

  EMIN      104.323515   .4036173 103.522651 105.124380 103.553278 105.172937
  EMAX      94.6269269  1.5074743 91.6357708 97.6180829 90.0333220 96.2875852
  ED         1.3102702   .2127062   .8882150  1.7323255   .9496425  1.7813941
  GSD         .6973792   .2188144   .2632039  1.1315544   .2044380  1.1908646

  Bootstrap Correlation Matrix of the Parameter Estimates

                EMIN      EMAX        ED       GSD

  EMIN        1.0000    -.1913    -.1834     .5571
  EMAX        -.1913    1.0000    -.7551    -.6476
  ED          -.1834    -.7551    1.0000     .2506
  GSD          .5571    -.6476     .2506    1.0000

Constrained Nonlinear Regression

Notes
Output Created		21-FEB-2002 17:54:34
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss_US.sav
	Filter	wla = 1 (FILTER)
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	70
Syntax		MODEL PROGRAM ED=1 GSD=1.14 EMIN=0.14 EMAX=0.03 .
COMPUTE PRED_ = emin+(emax-emin)*(CDF.NORMAL(lg10(dose),ed,gsd)).
CNLR thymus
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
  /BOUNDS ED <= 4; ED >= -2; GSD <= 50; GSD >= .01; EMIN >= 0
  /BOOTSTRAP
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:01.32

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED         GSD        EMIN        EMAX

     0.2    .0395175805  1.00000000  1.14000000  .140000000  .030000000
     1.2    .0280068280  .995178942  1.14297001  .120081559  .033099820
     2.1    .0276655560  .994715692  1.14321073  .119576304  .036972713
     3.2    .0268028455  .919201744  1.15191604  .121162312  .037775768
     4.2    .0262704476  .800270180  1.14535125  .117958122  .038840433
     5.3    .0228724868  .336795684  .962437816  .123609928  .049690132
     6.3    .0222029992  .237109827  .921807571  .126621277  .047339980
     7.1    .0216468064  .149921741  .755211903  .128697165  .050939353
     8.1    .0215481942  .287102670  .695737134  .128445676  .049367164
     9.1    .0213779368  .237687898  .668781230  .127088594  .050451737
    10.1    .0213638516  .241099088  .646258379  .126339163  .050475132
    11.1    .0213634002  .244698175  .647226719  .126214090  .050360664
    12.1    .0213633825  .244487797  .646136319  .126221394  .050378109
    13.1    .0213633821  .244465292  .646315675  .126223724  .050377004
    14.1    .0213633821  .244470560  .646309594  .126223457  .050376961

Run stopped after 14 major iterations.
Optimal solution found.


Nonlinear Regression Summary Statistics     Dependent Variable THYMUS

  Source                 DF  Sum of Squares  Mean Square

  Regression              4         .54192         .13548
  Residual               66         .02136   3.236876E-04
  Uncorrected Total      70         .56328

  (Corrected Total)      69         .09399

  R squared = 1 - Residual SS / Corrected SS =     .77270

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED          .244470560   .135226582  -.025518023   .514459142
  GSD         .646309594   .183965707   .279010209  1.013608979
  EMIN        .126223457   .004911621   .116417090   .136029824
  EMAX        .050376961   .003598161   .043193000   .057560922

  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED       GSD      EMIN      EMAX

  ED          1.0000    -.1134    -.5047    -.3449
  GSD         -.1134    1.0000     .4906    -.3851
  EMIN        -.5047     .4906    1.0000    -.1028
  EMAX        -.3449    -.3851    -.1028    1.0000




Bootstrap statistics based on 100 samples

                                     95% Conf. Bounds     95% Trimmed Range
  Parameter  Estimate  Std. Error    Lower      Upper      Lower      Upper

  ED          .2444706   .1370496  -.0274655   .5164066   .0076580   .5171321
  GSD         .6463096   .1964100   .2565895  1.0360296   .3691294  1.1974271
  EMIN        .1262235   .0058262   .1146631   .1377839   .1141257   .1369131
  EMAX        .0503770   .0025168   .0453831   .0553708   .0457106   .0551733

  Bootstrap Correlation Matrix of the Parameter Estimates

                  ED       GSD      EMIN      EMAX

  ED          1.0000    -.2523    -.5698    -.2884
  GSD         -.2523    1.0000     .2469    -.3815
  EMIN        -.5698     .2469    1.0000    -.0980
  EMAX        -.2884    -.3815    -.0980    1.0000

Constrained Nonlinear Regression

Notes
Output Created		21-FEB-2002 17:54:36
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss_US.sav
	Filter	wla = 1 (FILTER)
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	70
Syntax		MODEL PROGRAM ED=1 GSD=.65 EMIN=44 EMAX=1600 .
COMPUTE PRED_ = emin+(emax-emin)*(CDF.NORMAL(lg10(dose),ed,gsd)).
CNLR erod
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
  /BOUNDS ED <= 4; ED >= -2; GSD <= 50; GSD >= .01; EMIN >= 0
  /BOOTSTRAP
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:01.01

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED         GSD        EMIN        EMAX

     0.3    19620041.24  1.00000000  .650000000  44.0000000  1600.00000
     1.3    8664649.942  .951370855  1.44994944  641.321491  1674.57100
     2.3    8471310.479  1.15709300  1.35278134  621.787622  1740.14927
     3.3    8359519.359  1.13315869  1.33259471  612.440012  1772.37941
     4.3    8356263.636  1.14341824  1.50676051  610.248276  1824.12585
     5.5    8202262.618  3.32907962  3.81249341  .000000000  3398.86187
     6.3    6156118.251  .827800265  2.11629545  21.2838297  2344.19132
     7.2    6145754.681  .952911908  2.23523600  20.4443949  2403.44346
     8.1    5914565.915  .152255794  2.16164744  14.9010769  1890.48296
     9.2    5765527.631  -.42687091  1.85871713  10.8915110  1514.00156
    10.1    5697799.569  -.85260604  1.51571967  7.30056141  1260.98764
    11.2    5130818.901  -1.1287949  .878194060  .000000000  1126.97344
    12.4    4945166.588  -1.0820585  .801311489  .000000000  1154.88648
    13.2    4859905.342  -1.0473640  .727958719  14.6390269  1153.12667
    14.1    4666425.655  -.83188503  .622695482  69.8035551  1194.71602
    15.1    4644974.519  -.81020658  .480400119  98.1294008  1170.79196
    16.1    4640011.400  -.83340928  .532257157  80.0128201  1175.93644
    17.1    4639243.045  -.82938145  .525359946  80.0927073  1175.31015
    18.1    4638811.062  -.83008633  .522452074  76.6678241  1174.04272
    19.1    4638692.727  -.83142032  .525448644  73.4208489  1174.02187
    20.1    4638672.093  -.83319240  .527620193  71.7662892  1173.93520
    21.1    4638671.431  -.83321989  .528134347  71.6650844  1174.04962
    22.1    4638671.413  -.83327164  .528113648  71.6734719  1174.03659

Run stopped after 22 major iterations.
Optimal solution found.


Nonlinear Regression Summary Statistics     Dependent Variable EROD

  Source                 DF  Sum of Squares  Mean Square

  Regression              4  38242420.5956  9560605.14889
  Residual               43  4638671.41273   107876.07937
  Uncorrected Total      47  42881092.0083

  (Corrected Total)      46  13310902.1055

  R squared = 1 - Residual SS / Corrected SS =     .65151

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED         -.833271637   .180122414 -1.196523104  -.470020171
  GSD         .528113648   .249983791   .023973287  1.032254009
  EMIN      71.673471913 156.42294432 -243.7834597 387.13040351
  EMAX      1174.0365940 78.355224711 1016.0182236 1332.0549645




  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED       GSD      EMIN      EMAX

  ED          1.0000    -.3376     .6661     .2382
  GSD         -.3376    1.0000    -.6436     .4137
  EMIN         .6661    -.6436    1.0000    -.1665
  EMAX         .2382     .4137    -.1665    1.0000

Bootstrap statistics based on 100 samples

                                     95% Conf. Bounds     95% Trimmed Range
  Parameter  Estimate  Std. Error    Lower      Upper      Lower      Upper

  ED         -.8332716   .7024250 -2.2270352   .5604920 -1.0511914   .3207592
  GSD         .5281136   .3302243  -.1271230  1.1833503   .2321570  1.3189919
  EMIN      71.6734719 78.6082197 -84.302290 227.649234   .0000000 161.583665
  EMAX      1174.03659 920.606137 -652.64571 3000.71890 995.342314 1593.56863

  Bootstrap Correlation Matrix of the Parameter Estimates

                  ED       GSD      EMIN      EMAX

  ED          1.0000     .5821     .4960     .2308
  GSD          .5821    1.0000    -.3779     .7408
  EMIN         .4960    -.3779    1.0000    -.5646
  EMAX         .2308     .7408    -.5646    1.0000

Constrained Nonlinear Regression

Notes
Output Created		21-FEB-2002 17:54:37
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss_US.sav
	Filter	wla = 1 (FILTER)
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	70
Syntax		MODEL PROGRAM ED=1.46 GSD=.0385 EMIN=0.310 EMAX=0.435 .
COMPUTE PRED_ = emin+(emax-emin)*(CDF.NORMAL(lg10(dose),ed,gsd)).
CNLR ffa
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
  /BOUNDS ED <= 4; ED >= -2; GSD <= 50; GSD >= .01; EMIN >= 0
  /BOOTSTRAP
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:00.74

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED         GSD        EMIN        EMAX

     0.2    4.108393648  1.46000000  .038500000  .310000000  .435000000
     1.3    3.570290566  1.44963647  .038075064  .393860979  .531914279
     2.4    3.511858707  1.49160278  .068386744  .374611965  .574892858
     3.1    3.511472041  1.51797243  .072005460  .382361165  .571663295
     4.1    3.510138390  1.50792076  .058545142  .374328220  .568862352
     5.1    3.509609021  1.49982895  .068912557  .374000357  .565294102
     6.1    3.509265606  1.50442186  .071290212  .376384719  .567459124
     7.1    3.509263610  1.50426993  .070921566  .376221999  .567664163
     8.1    3.509263577  1.50430478  .070889034  .376219570  .567652855
     9.1    3.509263575  1.50431923  .070877063  .376219485  .567652091

Run stopped after 9 major iterations.
Optimal solution found.


Nonlinear Regression Summary Statistics     Dependent Variable FFA

  Source                 DF  Sum of Squares  Mean Square

  Regression              4       14.39372        3.59843
  Residual               66        3.50926         .05317
  Uncorrected Total      70       17.90298

  (Corrected Total)      69        4.04924

  R squared = 1 - Residual SS / Corrected SS =     .13335

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED         1.504319227  1.05669E+15 -2.10974E+15  2.10974E+15
  GSD         .070877063  2.75369E+15 -5.49792E+15  5.49792E+15
  EMIN        .376219485   .036011739   .304319727   .448119242
  EMAX        .567652091   .048080847   .471655583   .663648599

  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED       GSD      EMIN      EMAX

  ED          1.0000    1.0000     .0000     .0000
  GSD         1.0000    1.0000     .0000     .0000
  EMIN         .0000     .0000    1.0000     .0000
  EMAX         .0000     .0000     .0000    1.0000




Bootstrap statistics based on 100 samples

                                     95% Conf. Bounds     95% Trimmed Range
  Parameter  Estimate  Std. Error    Lower      Upper      Lower      Upper

  ED         1.5043192   .9089069  -.2991493  3.3077877  1.3873113  4.0000000
  GSD         .0708771   .1875638  -.3012901   .4430442   .0100000   .1109546
  EMIN        .3762195   .0427807   .2913332   .4611057   .3352620   .5078286
  EMAX        .5676521   .1409656   .2879457   .8473585   .1651387   .6147777

  Bootstrap Correlation Matrix of the Parameter Estimates

                  ED       GSD      EMIN      EMAX

  ED          1.0000    -.0661     .6493    -.5621
  GSD         -.0661    1.0000    -.2332     .5399
  EMIN         .6493    -.2332    1.0000    -.8869
  EMAX        -.5621     .5399    -.8869    1.0000

Constrained Nonlinear Regression

Notes
Output Created		21-FEB-2002 17:54:38
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss_US.sav
	Filter	wla = 1 (FILTER)
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	70
Syntax		MODEL PROGRAM ED=1.46 GSD=1.023 EMIN=1.58 EMAX=3.53 .
COMPUTE PRED_ = emin+(emax-emin)*(CDF.NORMAL(lg10(dose),ed,gsd)).
CNLR bilirubi
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
  /BOUNDS ED <= 3.477; ED >= -2; GSD <= 50; GSD >= .01; EMIN >= 0
  /BOOTSTRAP
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:03.33

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED         GSD        EMIN        EMAX

     0.2    55.04233980  1.46000000  1.02300000  1.58000000  3.53000000
     1.2    54.88486455  1.55911257  1.19820934  1.52947081  3.44193810
     2.3    54.47434649  1.66038904  1.39659198  1.60038931  3.55957171
     3.3    53.43122651  2.26180973  2.60597208  1.07055256  4.86747714
     4.1    53.15884290  2.60015024  2.39546188  1.22906942  4.93409064
     5.1    52.72989529  2.83567130  2.25479694  1.43648994  4.96231825
     6.1    52.62094148  2.74641039  2.35273135  1.39499517  5.00203555
     7.1    52.51486943  2.80575017  2.25317345  1.44049617  5.05349505
     8.1    52.35579517  3.00894914  1.95762372  1.54461341  5.31514430
     9.1    52.29437085  3.03209522  2.10319230  1.49281486  5.43461762
    10.2    52.22940926  3.21636163  2.24038906  1.47773455  5.72152022
    11.1    52.15642899  3.47700000  2.36796674  1.46758584  6.13770929
    12.1    52.15228132  3.47700000  2.34722802  1.47349298  6.15610430
    13.1    52.15052758  3.47700000  2.31552139  1.48312116  6.17412348
    14.1    52.15052671  3.47700000  2.31589301  1.48313913  6.17403563

Run stopped after 14 major iterations.
Optimal solution found.


Nonlinear Regression Summary Statistics     Dependent Variable BILIRUBI

  Source                 DF  Sum of Squares  Mean Square

  Regression              4      406.85947      101.71487
  Residual               66       52.15053         .79016
  Uncorrected Total      70      459.01000

  (Corrected Total)      69       90.08871

  R squared = 1 - Residual SS / Corrected SS =     .42112

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED         3.477000000  6.497547457 -9.495772064 16.449772064
  GSD        2.315893010  3.533607351 -4.739181698  9.370967719
  EMIN       1.483139127   .433417754   .617792661  2.348485593
  EMAX       6.174035625 11.245061850 -16.27745475 28.625526004

  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED       GSD      EMIN      EMAX

  ED          1.0000     .9780    -.7221     .9987
  GSD          .9780    1.0000    -.8288     .9754
  EMIN        -.7221    -.8288    1.0000    -.7285
  EMAX         .9987     .9754    -.7285    1.0000




Bootstrap statistics based on 100 samples

                                     95% Conf. Bounds     95% Trimmed Range
  Parameter  Estimate  Std. Error    Lower      Upper      Lower      Upper

  ED         3.4770000  1.1946181  1.1066185  5.8473815   .3972156  3.4770000
  GSD        2.3158930   .8412136   .6467427  3.9850433   .2042008  3.3689547
  EMIN       1.4831391   .2946728   .8984444  2.0678339   .9351303  2.0742918
  EMAX       6.1740356  2.2572819  1.6950987 10.6529726  2.8699821 10.7733667

  Bootstrap Correlation Matrix of the Parameter Estimates

                  ED       GSD      EMIN      EMAX

  ED          1.0000     .1848     .4910     .7890
  GSD          .1848    1.0000    -.7048    -.1379
  EMIN         .4910    -.7048    1.0000     .5662
  EMAX         .7890    -.1379     .5662    1.0000

Constrained Nonlinear Regression

Notes
Output Created		21-FEB-2002 17:54:41
Comments		 
Input	Data	N:\YTO\TCDD\ABC kannat\SPSS\s242_abc_spss_US.sav
	Filter	wla = 1 (FILTER)
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	70
Syntax		MODEL PROGRAM ED=1 GSD=.19 EMIN=192 EMAX=230 .
COMPUTE PRED_ = emin+(emax-emin)*(CDF.NORMAL(lg10(dose),ed,gsd)).
CNLR asat
  /OUTFILE='C:\TEMP\spss194\SPSSFNLR.TMP'
  /PRED PRED_
  /BOUNDS ED <= 4; ED >= -2; GSD <= 50; GSD >= .01; EMIN >= 0
  /BOOTSTRAP
  /CRITERIA STEPLIMIT 2 ISTEP 1E+20 .

Resources	Elapsed Time	0:00:04.18

All the derivatives will be calculated numerically.




  Iteration Residual SS          ED         GSD        EMIN        EMAX

     0.3    8567532.949  1.00000000  .190000000  192.000000  230.000000
     1.4    5768052.836  .953023281  .187181397  240.272706  520.451250
     2.3    5557741.623  .978313415  .600631507  238.278425  530.661099
     3.2    5547035.261  .909928887  .896793742  232.807356  535.721638
     4.4    5204643.736  1.36557813  .866942561  198.478536  598.982813
     5.2    5179833.502  1.51286375  .975395077  216.048511  693.929008
     6.4    5102590.812  1.68801399  .907409586  225.064404  708.181091
     7.4    5065243.635  1.73504158  1.11110498  191.358520  716.486372
     8.3    5036559.968  1.82998592  1.06494798  196.876676  727.732924
     9.1    4983817.155  2.13845125  .856655291  222.588325  761.290138
    10.1    4982584.420  2.16604685  .905590053  221.376524  767.091147
    11.1    4981865.299  2.20080622  .942700482  221.488825  776.886397
    12.1    4980778.991  2.26075185  1.01850127  220.309685  799.055763
    13.1    4979852.074  2.32531819  1.07825593  219.291235  824.039816
    14.1    4979186.792  2.38014995  1.12335751  217.987153  847.892737
    15.1    4978991.055  2.41684847  1.14794143  217.285339  863.630802
    16.1    4978959.836  2.43921603  1.16589231  216.890776  872.971434
    17.1    4978956.052  2.45005817  1.17273320  216.813349  876.994178
    18.1    4978955.908  2.45206373  1.17478663  216.784332  877.821974
    19.1    4978955.900  2.45194101  1.17455673  216.790986  877.748103
    20.1    4978955.900  2.45193566  1.17455315  216.791419  877.743926

Run stopped after 20 major iterations.
Optimal solution found.


Nonlinear Regression Summary Statistics     Dependent Variable ASAT

  Source                 DF  Sum of Squares  Mean Square

  Regression              4  11537747.0998  2884436.77495
  Residual               66  4978955.90018    75438.72576
  Uncorrected Total      70  16516703.0000

  (Corrected Total)      69  7248533.84286

  R squared = 1 - Residual SS / Corrected SS =     .31311

                                           Asymptotic 95 %
                          Asymptotic     Confidence Interval
  Parameter   Estimate    Std. Error     Lower         Upper

  ED         2.451935658  1.443751501  -.430607219  5.334478534
  GSD        1.174553145  1.189083805 -1.199529270  3.548635561
  EMIN      216.79141901 57.418632917 102.15141954 331.43141847
  EMAX      877.74392584 557.64388126 -235.6280059 1991.1158576




  Asymptotic Correlation Matrix of the Parameter Estimates

                  ED       GSD      EMIN      EMAX

  ED          1.0000     .8864    -.2465     .9781
  GSD          .8864    1.0000    -.5091     .9169
  EMIN        -.2465    -.5091    1.0000    -.3536
  EMAX         .9781     .9169    -.3536    1.0000

Bootstrap statistics based on 100 samples

                                     95% Conf. Bounds     95% Trimmed Range
  Parameter  Estimate  Std. Error    Lower      Upper      Lower      Upper

  ED         2.4519357  1.0502549   .3680020  4.5358693  1.2564263  4.0000000
  GSD        1.1745531   .6034904  -.0229028  2.3720091   .0102460  1.7396001
  EMIN      216.791419 28.0876481 161.059431 272.523407 193.681502 303.231199
  EMAX      877.743926 1401.63590 -1903.4058 3658.89363 466.997281 5933.21397

  Bootstrap Correlation Matrix of the Parameter Estimates

                  ED       GSD      EMIN      EMAX

  ED          1.0000     .6945     .2352     .7313
  GSD          .6945    1.0000    -.3957     .3417
  EMIN         .2352    -.3957    1.0000     .3804
  EMAX         .7313     .3417     .3804    1.0000

